A Novel Approach for Blood Vessel Edge Detection in Retinal Images

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作者: By:Zhang, YG [ 1 ] Guo, XY [ 1 ] Hu, L [ 1 ] Dang, QH [ 1 ] Chen, D [ 1 ] Cui, D [ 1 ] Jiao, Q [ 1 ] Edited by:Shi, R Fu, WJ Wang, YQ Wang, HB

作者单位: Taishan Med Univ, Dept Radiol, Tai An, Shandong, Peoples R China Organization-Enhanced Name(s) Taishan Medical University

刊名: PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS, VOLS 1-4

摘要: Blood vessel appearance is an important indicator for many diagnoses, including diabetes, hypertension, and arteriosclerosis. Blood Vessel edge detection in retinal images is very important in medical image processing. A lot of algorithms have been suggested for extracting medical image edges, and however, obtaining continuous edges with less over-detection points is difficult for edge extraction. In this paper, we propose a novel approach for blood vessel edge detection by integrating wavelet w...更多; Blood vessel appearance is an important indicator for many diagnoses, including diabetes, hypertension, and arteriosclerosis. Blood Vessel edge detection in retinal images is very important in medical image processing. A lot of algorithms have been suggested for extracting medical image edges, and however, obtaining continuous edges with less over-detection points is difficult for edge extraction. In this paper, we propose a novel approach for blood vessel edge detection by integrating wavelet with fractal. First, accurate edges are extracted by employing wavelet technique. Then, continuous edges are obtained based on fractal technique. Finally, the experiments aptly show that our algorithm can obtain better edge continuity comparing with canny operator收起

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